Associate, Mortgage Quantitative Analyst

About the role

Brio Real Estate is a Blackstone Real Estate portfolio company focused on real estate credit. Brio supports Blackstone’s Real Estate Debt Strategies (“BREDS”) investments across the globe. The company provides support across key functions, including corporate, transaction, and management services. The critical infrastructure and capabilities Brio provides for BREDS allows for effective support in the management of its global portfolio. Today, BREDS has more than $76 billion of investor capital across high yield / opportunistic real estate credit funds, a publicly traded Mortgage REIT, and liquid securities strategies. BREDS is part of Blackstone Real Estate, the largest owner of commercial real estate globally, owning and operating assets across every major geography and sector. At Brio, the Associate, Mortgage Quantitative Analyst plays a key role in supporting our data ecosystem by connecting technical and business teams and enabling critical day‑to‑day operations. You will partner with cross‑functional stakeholders, including the trading desk, to understand data needs, build queries, and deliver actionable insights. Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework.

Responsibilities

• Play a central role in our data ecosystem, serving as the critical link connecting technical and business functions to support essential workflows that power daily operations.
• Be instrumental in onboarding and integrating every new dataset that enters our analytical framework.
• Work directly with cross‑functional teams, collaborating with the trading desk to understand their data needs and build queries to support their analysis.
• Leverage industry‑standard technology such as Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions.

Qualifications

• 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis.
• Ability to translate business requirements into efficient data solutions while accounting for performance and scalability.
• 2+ years of professional experience in fintech or structured products, working with loan‑level information and understanding the complexities of amortization, prepayment, default, and loss severity.
• Experience wrangling messy loan tape data into a usable state, building complex analytics on asset performance, and creating reports on portfolio metrics.
• Comfort evaluating credit performance and communicating insights to both technical and business audiences.
• Frequent work with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, with experience optimizing queries and data models for performance at scale.
• Strong collaboration and communication skills; comfortable working alongside engineers and business teams, translating analytical requirements into actionable deliverables.
• Aptitude for understanding client needs and delivering insights that drive decision‑making.